Automated and Adaptive Lower Extremity Neuro-Rehabilitation for Stroke
Automated and Adaptive Lower Extremity Neuro-Rehabilitation for Stroke
批准号:
8074005
负责人:
Iahn Cajigas González
金额:
$4.68万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-06-01 至 2013-05-31
关键词:
AddressAdoptedAdultAffectAlgorithmsAmericanAnatomyAnimalsClinicClinicalClinical assessmentsCollaborationsCountryDataDevelopmentDevicesDimensionsDisabled PersonsElectric StimulationEngineeringEvolutionExerciseGaitGoalsHealthHospitalsIndividualInterventionJointsKnowledgeLearningLegLengthLiteratureLower ExtremityMeasurementMeasuresMeta-AnalysisMethodologyMethodsMotorMotor SkillsMotor outputMovementMuscleMusculoskeletal EquilibriumNervous system structureNeurorehabilitationNutritionistOccupational TherapyOrthopedicsOrthotic DevicesOutputPatientsPerformancePhysical therapyPhysiciansPlacebosProcessProductivityProtocols documentationPsychologistQuality of lifeRecoveryRecovery of FunctionRegimenRehabilitation deviceRehabilitation therapyRelative (related person)ReportingResearchResource AllocationRoboticsSpeech TherapySpeedStratificationStrokeStructureSurvivorsSwitzerlandSystemTechniquesTechnologyTimeTrainingTreatment EfficacyUpper ExtremityWorkarmbasecomparative efficacycomputerized data processingcostdesigndisabilityfunctional improvementfunctional restorationfunctional statusimprovedimproved functioningindexingmotor deficitmotor learningmotor skill learningmuscular structurenovelorthoticsprogramspublic health relevancerehabilitation strategyrelating to nervous systemskillssoundtheories
中文摘要
描述(由申请人提供):通过我们的研究,我们的目标是开发定量的方法来评估中风幸存者使用下肢康复Lokomat平台(Hocoma AG,瑞士)的运动学习。准确理解康复计划的结构如何影响运动技能的长期保留,对于确定治疗方法的疗效和比较不同策略的疗效至关重要。目前的方法对康复工作者来说也非常费力,在某些情况下,治疗师的压力可能成为每次治疗时间或每次治疗活动数量的限制因素。通过应用控制理论和信号处理领域的先进工程技术,我们希望为Lokomat平台等设备开发自动化和自适应策略,使康复工作者在提供技能的同时消除大部分压力。这些策略通过为患者提供他们的个人基线和改善率所规定的任务,而不需要治疗师的干预,可能会导致恢复速度的加快。公共卫生相关性:中风是导致严重长期残疾的主要原因。在美国每年发生的大约70万例中风中,21% -36%的中风幸存者永久残疾。根据美国中风协会2006年的一份报告,超过110万美国成年人报告中风导致的功能限制困难。由此产生的残疾对个人的生活质量产生负面影响,妨碍他们的生产力,并限制他们的独立性。鉴于中风对幸存者生活方方面面的深远影响,通过新颖的研究方法来恢复功能和限制残疾的策略势在必行。
英文摘要
DESCRIPTION (provided by applicant): Through our research we aim to develop quantitative methods for the assessment of motor learning in stroke survivors using the lower extremity rehabilitation Lokomat platform (Hocoma AG, Switzerland). Accurate understanding of how the structure of a rehabilitation program affects the long-term retention of motor skills is essential for establishing the efficacy of therapeutic approaches and for comparing efficacy across strategies. Current methods are also very laborious for rehabilitation workers and in some situations strain on the therapist can be the limiting factor on the length of a session or on the number of activities conducted per session. By applying advanced engineering techniques from the fields of control theory and signal processing, we hope to develop automated and adaptive strategies for devices like the Lokomat platform that allow rehabilitation workers to provide their skills while removing much of the strain. These strategies may result in increased speed of recovery by providing patients with tasks dictated by their individual baseline and rate of improvement without the need for therapist intervention. PUBLIC HEALTH RELEVANCE: Stroke is a leading cause of serious long term disability. Of the approximately 700,000 strokes that occur annually in the US, 21-36% of stroke survivors are permanently disabled. According to a 2006 report from the American Stroke Association, more than 1,100,000 American adults report difficulty with functional limitations resulting from stroke. Resulting disabilities negatively impact individual's quality of life, hinder their productivity, and limit their independence. Given the far reaching consequences of stroke on all aspects of survivors' lives, strategies to restore functionality and limit disability via novel research approaches are imperative.
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会议论文
Automated and Adaptive Lower Extremity Neuro-Rehabilitation for Stroke
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批准号:7845022
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项目类别:
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资助金额:$4.64万
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财政年份:2009
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负责人:Iahn Cajigas González
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依托单位:
Automated and Adaptive Lower Extremity Neuro-Rehabilitation for Stroke
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批准号:8264202
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项目类别:
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资助金额:$4.31万
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财政年份:2009
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负责人:Iahn Cajigas González
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依托单位:
海外基金